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Matthew Wicker
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2020 – today
- 2024
- [j2]Matthew Wicker, Luca Laurenti, Andrea Patane, Nicola Paoletti, Alessandro Abate, Marta Kwiatkowska:
Probabilistic reach-avoid for Bayesian neural networks. Artif. Intell. 334: 104132 (2024) - [c14]Matthew Wicker
, Andrea Patane
Adversarial Robustness Certification for Bayesian Neural Networks. FM (1) 2024: 3-28 - [i23]Philip Sosnin, Mark Niklas Müller, Maximilian Baader, Calvin Tsay, Matthew Wicker:
Certified Robustness to Data Poisoning in Gradient-Based Training. CoRR abs/2406.05670 (2024) - [i22]Matthew Wicker, Philip Sosnin, Adrianna Janik, Mark N. Müller, Adrian Weller, Calvin Tsay:
Certificates of Differential Privacy and Unlearning for Gradient-Based Training. CoRR abs/2406.13433 (2024) - 2023
- [c13]Matthew Wicker, Juyeon Heo, Luca Costabello, Adrian Weller:
Robust Explanation Constraints for Neural Networks. ICLR 2023 - [c12]Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller:
Use perturbations when learning from explanations. NeurIPS 2023 - [c11]Matthew Wicker, Vihari Piratla, Adrian Weller:
Certification of Distributional Individual Fairness. NeurIPS 2023 - [i21]Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller:
Robust Learning from Explanations. CoRR abs/2303.06419 (2023) - [i20]Alice Doherty, Matthew Wicker, Luca Laurenti, Andrea Patane:
Individual Fairness in Bayesian Neural Networks. CoRR abs/2304.10828 (2023) - [i19]Matthew Wicker, Andrea Patane, Luca Laurenti, Marta Kwiatkowska:
Adversarial Robustness Certification for Bayesian Neural Networks. CoRR abs/2306.13614 (2023) - [i18]Matthew Wicker, Luca Laurenti, Andrea Patane, Nicola Paoletti
Probabilistic Reach-Avoid for Bayesian Neural Networks. CoRR abs/2310.01951 (2023) - [i17]Matthew Wicker, Vihari Piratla, Adrian Weller:
Certification of Distributional Individual Fairness. CoRR abs/2311.11911 (2023) - 2022
- [c10]Benjie Wang
Tractable Uncertainty for Structure Learning. ICML 2022: 23131-23150 - [c9]Elias Benussi, Andrea Patanè, Matthew Wicker, Luca Laurenti, Marta Kwiatkowska:
Individual Fairness Guarantees for Neural Networks. IJCAI 2022: 651-658 - [i16]Benjie Wang, Matthew Wicker, Marta Kwiatkowska:
Tractable Uncertainty for Structure Learning. CoRR abs/2204.14170 (2022) - [i15]Elias Benussi, Andrea Patane, Matthew Wicker, Luca Laurenti, Marta Kwiatkowska:
Individual Fairness Guarantees for Neural Networks. CoRR abs/2205.05763 (2022) - [i14]Luca Bortolussi, Ginevra Carbone, Luca Laurenti, Andrea Patane, Guido Sanguinetti
On the Robustness of Bayesian Neural Networks to Adversarial Attacks. CoRR abs/2207.06154 (2022) - [i13]Emanuele La Malfa, Matthew Wicker, Marta Kiatkowska:
Emergent Linguistic Structures in Neural Networks are Fragile. CoRR abs/2210.17406 (2022) - [i12]Matthew Wicker, Juyeon Heo, Luca Costabello, Adrian Weller:
Robust Explanation Constraints for Neural Networks. CoRR abs/2212.08507 (2022) - 2021
- [c8]Matthew Wicker, Luca Laurenti, Andrea Patane, Zhuotong Chen, Zheng Zhang, Marta Kwiatkowska:
Bayesian Inference with Certifiable Adversarial Robustness. AISTATS 2021: 2431-2439 - [c7]Matthew Wicker, Luca Laurenti, Andrea Patane, Nicola Paoletti, Alessandro Abate, Marta Kwiatkowska:
Certification of iterative predictions in Bayesian neural networks. UAI 2021: 1713-1723 - [i11]Matthew Wicker, Luca Laurenti, Andrea Patane, Zhoutong Chen, Zheng Zhang, Marta Kwiatkowska:
Bayesian Inference with Certifiable Adversarial Robustness. CoRR abs/2102.05289 (2021) - [i10]Matthew Wicker, Luca Laurenti, Andrea Patane, Nicola Paoletti, Alessandro Abate, Marta Kwiatkowska:
Certification of Iterative Predictions in Bayesian Neural Networks. CoRR abs/2105.10134 (2021) - 2020
- [j1]Min Wu, Matthew Wicker, Wenjie Ruan
A game-based approximate verification of deep neural networks with provable guarantees. Theor. Comput. Sci. 807: 298-329 (2020) - [c6]Rhiannon Michelmore, Matthew Wicker, Luca Laurenti, Luca Cardelli, Yarin Gal, Marta Kwiatkowska:
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control. ICRA 2020: 7344-7350 - [c5]Ginevra Carbone, Matthew Wicker, Luca Laurenti, Andrea Patané, Luca Bortolussi, Guido Sanguinetti:
Robustness of Bayesian Neural Networks to Gradient-Based Attacks. NeurIPS 2020 - [c4]Matthew Wicker, Luca Laurenti, Andrea Patane, Marta Kwiatkowska:
Probabilistic Safety for Bayesian Neural Networks. UAI 2020: 1198-1207 - [i9]Ginevra Carbone, Matthew Wicker, Luca Laurenti, Andrea Patane, Luca Bortolussi, Guido Sanguinetti:
Robustness of Bayesian Neural Networks to Gradient-Based Attacks. CoRR abs/2002.04359 (2020) - [i8]Matthew Wicker, Luca Laurenti, Andrea Patane, Marta Kwiatkowska:
Probabilistic Safety for Bayesian Neural Networks. CoRR abs/2004.10281 (2020) - [i7]Matthew Yuan, Matthew Wicker, Luca Laurenti:
Gradient-Free Adversarial Attacks for Bayesian Neural Networks. CoRR abs/2012.12640 (2020)
2010 – 2019
- 2019
- [c3]Matthew Wicker, Marta Kwiatkowska:
Robustness of 3D Deep Learning in an Adversarial Setting. CVPR 2019: 11767-11775 - [c2]Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Nicola Paoletti
Statistical Guarantees for the Robustness of Bayesian Neural Networks. IJCAI 2019: 5693-5700 - [i6]Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Nicola Paoletti, Andrea Patane, Matthew Wicker:
Statistical Guarantees for the Robustness of Bayesian Neural Networks. CoRR abs/1903.01980 (2019) - [i5]Matthew Wicker, Marta Kwiatkowska:
Robustness of 3D Deep Learning in an Adversarial Setting. CoRR abs/1904.00923 (2019) - [i4]Rhiannon Michelmore, Matthew Wicker, Luca Laurenti, Luca Cardelli, Yarin Gal, Marta Kwiatkowska:
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control. CoRR abs/1909.09884 (2019) - 2018
- [c1]Matthew Wicker, Xiaowei Huang, Marta Kwiatkowska:
Feature-Guided Black-Box Safety Testing of Deep Neural Networks. TACAS (1) 2018: 408-426 - [i3]Liang Ding, Di Chang, Russell L. Malmberg, Aaron Martínez, David Robinson, Matthew Wicker, Hongfei Yan, Liming Cai:
Efficient Learning of Optimal Markov Network Topology with k-Tree Modeling. CoRR abs/1801.06900 (2018) - [i2]Min Wu, Matthew Wicker, Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska:
A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees. CoRR abs/1807.03571 (2018) - 2017
- [i1]Matthew Wicker, Xiaowei Huang
Feature-Guided Black-Box Safety Testing of Deep Neural Networks. CoRR abs/1710.07859 (2017)
Coauthor Index
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last updated on 2024-12-10 20:47 CET by the dblp team
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